This statistic returns a value that gives you an idea of how long you can expect your positions to be open. You can use this by manually closing out a position if you feel it has been in the market for too long.

This statistic returns a value that is useful in giving you a measure of how effective your exit conditions capture the price movements after your strategy enters a position. It shows you how much you give back from the best price reached before you exit the trade. A small number here is generally desirable since it would imply highly optimized exit conditions that capture most of the price movement you were after.

where loss is defined as (exit price – entry price) for long trades and as (entry price – exit price) for short trades, and point value is defined as the monetary conversion of each point (e.g. 100 for currency pairs).

This statistic returns a value representing the average maximum run-down your strategy experiences. This information helps you gauge how poorly your strategy’s entry conditions predict upcoming price movement directions. A low percentage here is desirable since it would imply that the price movement after you enter a position follows the direction of your intended trade.

Currency

SUM(MAE * quantity * point value) of all trades / # of trades

Percent

SUM(MAE * quantity / entry price) of all trades / # of traded lots

Points

SUM(MAE * quantity) of all trades / # of trades

where MAE (max. adverse excursion) is defined as |worst price trade reached – entry price|, quantity is defined as the number of contracts traded, and point value is defined as the monetary conversion of each point (e.g. 100 for currency pairs).

This statistic returns a value representing the average maximum run-up your strategy experiences. This information helps you gauge how well your strategy’s entry conditions predict upcoming price movements. A high percentage here is desirable since it would imply high profitability opportunities.

Currency

SUM(MFE * quantity * point value) of all trades / # of trades

Percent

SUM(MFE * quantity / entry price) of all trades / # of traded lots

Points

SUM(MFE * quantity) of all trades / # of trades

where MFE (max. favorable excursion) is defined as (best price trade reached – entry price), quantity is defined as the number of contracts traded, and point value is defined as the monetary conversion of each point (e.g. 100 for currency pairs).

This statistic returns a value representing the average profit you experience from all of your trades. It is useful for getting an idea of how much you could expect to earn on future trades.

Currency

SUM(profit * quantity * point value) of all trades / # of trades

Percent

SUM(profit * quantity / entry price) of all trades / # of traded lots

Points

SUM(profit * quantity) of all trades / # of trades

where profit is defined as (exit price – entry price) for long trades and as (entry price – exit price) for short trades, quantity is defined as the number of contracts traded, and point value is defined as the monetary conversion of each point (e.g. 100 for currency pairs).

where profit is defined as (exit price – entry price) for long trades and as (entry price – exit price) for short trades, quantity is defined as the number of contracts traded, and point value is defined as the monetary conversion of each point (e.g. 100 for currency pairs).

This statistic returns a value representing a summation of all the profits earned by all your trades. It can be interpreted as a performance measure for your strategy.

Currency

SUM(profit * quantity * point value) of all trades

Percent

PRODUCT(1 + profit / entry price) of all trades - 1

Points

SUM(profit * quantity) of all trades

where profit is defined as (exit price – entry price) for long trades and as (entry price – exit price) for short trades, quantity is defined as the number of contracts traded, and point value is defined as the monetary conversion of each point (e.g. 100 for currency pairs).

The maximum drawdown statistic provides you with information regarding the biggest decrease (drawdown) in account size experienced by your strategy. Drawdown is often used as an indicator of risk.

Drawdown = local maximum account size – local minimum account size

Max Drawdown = single largest Drawdown

As an example, your account rises from $25,000 to $50,000. It then subsequently drops to $40,000 but rises again to $60,000. The drawdown in this case would be $10,000 or -20%. Take note that drawdown does not necessarily have to correspond with a loss in your original account principal.

This statistic returns a ratio that can be used as a performance measure for your strategy. It gives you an idea of how much more money your strategy earns then it loses. A higher ratio can be considered characteristic of a high performing strategy. A ratio less than one indicates your strategy loses more money than it earns.

This statistic returns a ratio that can be used as a performance measure for your strategy. A value greater than 1 signifies you win more than you lose. A value less than 1 signifies you lose more than you win.

This statistic returns a ratio that measures the risk premium per unit of risk of your strategy. It can help you make decisions based on the excess risk of your strategies. You may have a high-return strategy, but the high returns may come at a cost of excess risk. The Sharpe ratio will help you determine if it is an appropriate increase in risk for the higher return or not. Generally, a ratio of 1 or greater is good, 2 or greater is very good, and 3 and up is great.

In the event that there is only 1 month of trade history or less, there is insufficient data to calculate the monthly standard deviation of profits in which event, the Sharpe Ratio is set to a value of 1